{"id":"W2548859505","doi":"10.1016/j.jmir.2016.09.001","title":"Twitter Journal Club in Medical Radiation Science","year":2016,"lang":"en","type":"review","venue":"Journal of medical imaging and radiation sciences","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre; Princess Margaret Cancer Centre; Foothills Medical Centre; BC Cancer Agency","funders":"","keywords":"Journal club; Club; Social media; Medical education; Psychology; World Wide Web; Computer science; Public relations; Political science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04581618,0.0002047234,0.0008964301,0.001824643,0.001235225,0.0005497053,0.001642029,0.0003856818,0.0004669127],"category_scores_gemma":[0.06418458,0.0001298118,0.0001813729,0.002261842,0.004316617,0.001432758,0.00007770835,0.001300392,0.00001693458],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009369825,"about_ca_system_score_gemma":0.02912638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001980854,"about_ca_topic_score_gemma":0.00003363868,"domain_scores_codex":[0.9881878,0.001415863,0.001712744,0.0003304742,0.007680279,0.0006727896],"domain_scores_gemma":[0.9898666,0.006051904,0.002036297,0.0001057944,0.0004202928,0.001519177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001261203,0.00002960752,0.001046709,0.0001506729,0.000005785302,0.00003172255,0.00385504,9.45811e-8,4.400798e-8,0.0004977889,0.002516776,0.9918645],"study_design_scores_gemma":[0.0003356322,0.00003366833,0.0005827924,0.008944637,0.00003996887,0.0004308608,0.002446896,0.00005922369,1.3098e-7,0.000632441,0.9863304,0.0001632831],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000366342,0.9322259,0.0001583408,0.04992156,0.01654593,0.0002971298,8.412463e-7,0.00001030079,0.0004736097],"genre_scores_gemma":[0.0007495878,0.9893786,0.0001450437,0.0005749259,0.009107824,0.00001660425,4.377839e-7,0.00001087043,0.00001613487],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917012,"threshold_uncertainty_score":0.9983931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1238139384979255,"score_gpt":0.5235398563853532,"score_spread":0.3997259178874276,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}